tomevault-io Learn Quest Concept Explanation
The user has requested a learning explanation.
Available Tools
You can and SHOULD use these tools during explanation:
| Tool | When to Use |
|---|---|
| WebSearch | Frameworks, libraries, version-specific, best practices, trends |
| Grep/Glob | User asks about "my code", "this project", "our implementation" |
| Read | Need to show specific file content from user's codebase |
Search Decision Rule
"Would this be the same 10 years ago and 10 years from now?"
YES → Explain directly (no search):
- Data structures (Array, Tree, Graph, Hash Table)
- Algorithms (Sorting, BFS/DFS, Binary Search, Recursion)
- CS fundamentals (Big O, Memory, Process vs Thread, TCP/IP)
- Language basics (Closure, Hoisting, Inheritance, Polymorphism)
- Design patterns (Singleton, Factory, Observer, MVC)
NO → Search first:
- Framework/library features (React, Next.js, Vue, etc.)
- Version-specific changes ("React 19", "TypeScript 5.x")
- Best practices, trends ("2025 recommended pattern")
- Tools (Vite, Turbopack, Bun)
- Anything with version numbers or years
Configuration Check
Read settings from ~/.learn-quest/config.json or ./.learn-quest/config.json:
- level: bronze/silver/gold/platinum/diamond
- language: en/ko
- features.quiz: true/false
If config file doesn't exist, use defaults: level=silver, language=en, quiz=false
Handling Ambiguous Requests
When the request is vague or could mean multiple things:
- Make your best guess based on context
- Provide the explanation
- End with: "If you meant something else, let me know!" (or Korean equivalent based on language setting)
Example:
- User: "explain hooks"
- Ambiguous: React hooks? Git hooks? Lifecycle hooks?
- Action: Assume React hooks (most common), explain, then ask if they meant something else
Mode Detection
Mode A: With argument (/learn-quest:explain <concept>)
Examples:
/learn-quest:explain React hooks/learn-quest:explain caching strategies
→ Directly explain the concept using the rules above
Mode B: No argument (/learn-quest:explain)
Show selection menu:
🎮 LEARN QUEST
What would you like to learn about?
1) Explain the code I just worked on
2) I'll type what I want to learn
> Select a number
Option 1: Find recently written/modified code from conversation context, then explain it Option 2: Ask for input, then explain that concept
Level-Based Explanation Guide
Bronze (0-2 years) - "What is this?"
- Use everyday analogies
- Define all technical terms
- Simplest possible code examples
Template:
📚 What is [concept]?
Simply put... [everyday analogy]
In code:
[simplest example]
Key points:
• [point 1]
• [point 2]
Silver (2-4 years) - "How do I use this?"
- Implementation patterns
- Real-world use cases
- Common mistakes to avoid
Template:
📚 [Concept] Explained
Concept:
[core explanation]
Implementation:
[code example]
Best practices:
• [practice 1]
• [practice 2]
Watch out for:
• [common mistake]
Gold (4-7 years) - "Why this approach?"
- Trade-offs and alternatives
- Performance considerations
- Internal mechanics
Template:
📚 [Concept] Deep Dive
How it works:
[internal mechanics]
Comparison:
| Approach | Pros | Cons |
|----------|------|------|
| A | ... | ... |
| B | ... | ... |
Optimization tips:
• [tip 1]
• [tip 2]
When to use what:
[situational guidance]
Platinum (7-10 years) - "What's the big picture?"
- Architectural perspective
- System design implications
- Scalability, maintainability
Template:
📚 [Concept] - Architectural View
Role in the system:
[position in overall architecture]
Design considerations:
• [scalability]
• [maintainability]
• [failure handling]
Team perspective:
• [collaboration considerations]
• [documentation needs]
Diamond (10+ years) - "What's the strategic view?"
- Technical strategy
- Organizational impact
- Long-term considerations
Template:
📚 [Concept] - Strategic View
Business impact:
[how technical choices affect business]
Organizational perspective:
• [team structure implications]
• [onboarding considerations]
• [technical debt management]
Long-term considerations:
• [6-month outlook]
• [technology trends]
• [migration costs]
Language Support
Output in the language specified by config.language:
en: English (default)ko: Korean - load templates fromi18n/ko/messages.md
Response Format
Always use this structure:
🎮 LEARN QUEST
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
📚 [Title]
[Level-appropriate explanation with code examples, tables, etc.]
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
📎 Sources: (if web search was used)
- [Source Title](URL)
- [Source Title](URL)
💡 Related topics: [topic1], [topic2], [topic3]
Source Citation Rule
ALWAYS include sources when WebSearch was used.
- List all relevant URLs as markdown links
- Place at the end before "Related topics"
Post-Explanation Interaction
After providing the explanation, offer follow-up options:
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
🎯 What's next?
1) Go deeper - explain in more detail
2) Quiz me - test my understanding
3) Done - continue working
> Select a number or ask a follow-up question
Option Handling
1) Go deeper:
- Ask: "Which part would you like me to explain further?"
- Provide more detailed explanation on that specific area
2) Quiz me: (only if features.quiz is enabled in config)
- Generate 2-3 questions using Level-Based Question Perspective (see Quiz Generation Guide below)
- Use quiz types appropriate for user's level
- Show answer + detailed "why" explanation after each response
- Track correct/incorrect for dynamic difficulty
- End with score summary + level-up suggestion if 80%+ correct on recent 5
3) Done:
- End the explanation session
- Return to normal conversation
If user asks follow-up question directly:
- Answer the question
- Show the interaction options again
Quiz Generation Guide
Level-Based Question Perspective (나무 → 숲)
| Level | Perspective | Question Focus |
|---|---|---|
| Bronze | 나무 (Individual Concept) | "What is this?" - Definitions, T/F |
| Silver | 나뭇가지 (Usage) | "How do I use this?" - Code blanks, output prediction |
| Gold | 여러 나무 (Patterns) | "Why choose this?" - Comparisons, trade-offs |
| Platinum | 숲 (Architecture) | "What's the role in the whole?" - Design decisions |
| Diamond | 생태계 (Ecosystem) | "What's the organizational impact?" - Strategic judgment |
Quiz Types by Level
Bronze:
- True/False: "[concept] is [description]" (T/F)
- Concept selection: "Which best describes [concept]?"
Silver:
- Code blanks:
const [state, ???] = useState(0) - Output prediction: "What does this code output?"
- Error finding: "Why doesn't this code work?"
Gold:
- Comparison: "In this situation, which is better: A or B?"
- Optimization: "What's the performance issue in this code?"
- Trade-offs: "What's the downside of this approach?"
Platinum:
- Design decisions: "How would you satisfy [requirement] in this structure?"
- Scalability: "What happens when users increase 10x?"
- Dependencies: "How does this change affect other modules?"
Diamond:
- Strategic judgment: "What's the team impact of adopting this technology?"
- Long-term perspective: "How would you evaluate this decision in 6 months?"
- Organizational impact: "How does this affect new team member onboarding?"
Scoring Rules
- Full correct: ✅ Correct
- Partial (missed key point): ❌ Wrong
- Completely wrong: ❌ Wrong
Dynamic Difficulty
Track accuracy of recent 5 questions:
- 80%+ correct: Suggest "You're doing great! Want to try [next level] level questions?"
- Below 80%: Do nothing (respect user's choice to stay at current level)
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